Dataset statistics
| Number of variables | 32 |
|---|---|
| Number of observations | 31 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 1 |
| Duplicate rows (%) | 3.2% |
| Total size in memory | 8.0 KiB |
| Average record size in memory | 264.0 B |
Variable types
| Numeric | 11 |
|---|---|
| Categorical | 21 |
421, centrum.sk: count(campaign) has constant value "0" | Constant |
421, icloud.com: count(campaign) has constant value "0" | Constant |
499, azet.sk: count(campaign) has constant value "0" | Constant |
550, icloud.com: count(campaign) has constant value "0" | Constant |
| Dataset has 1 (3.2%) duplicate rows | Duplicates |
421, (other): count(campaign) is highly overall correlated with 421, azet.sk: count(campaign) and 4 other fields | High correlation |
421, azet.sk: count(campaign) is highly overall correlated with 421, (other): count(campaign) and 5 other fields | High correlation |
421, seznam.cz: count(campaign) is highly overall correlated with 421, (other): count(campaign) and 9 other fields | High correlation |
421, zoznam.sk: count(campaign) is highly overall correlated with 421, (other): count(campaign) and 12 other fields | High correlation |
451, (other): count(campaign) is highly overall correlated with 421, seznam.cz: count(campaign) and 8 other fields | High correlation |
451, centrum.sk: count(campaign) is highly overall correlated with 421, seznam.cz: count(campaign) and 11 other fields | High correlation |
451, hotmail.com: count(campaign) is highly overall correlated with 451, centrum.sk: count(campaign) and 1 other fields | High correlation |
451, icloud.com: count(campaign) is highly overall correlated with 451, (other): count(campaign) and 4 other fields | High correlation |
451, zoznam.sk: count(campaign) is highly overall correlated with 421, zoznam.sk: count(campaign) and 6 other fields | High correlation |
452, (other): count(campaign) is highly overall correlated with 421, zoznam.sk: count(campaign) and 7 other fields | High correlation |
452, gmail.com: count(campaign) is highly overall correlated with 421, seznam.cz: count(campaign) and 9 other fields | High correlation |
499, (other): count(campaign) is highly overall correlated with 421, seznam.cz: count(campaign) and 8 other fields | High correlation |
499, centrum.sk: count(campaign) is highly overall correlated with 421, azet.sk: count(campaign) and 9 other fields | High correlation |
499, seznam.cz: count(campaign) is highly overall correlated with 451, centrum.sk: count(campaign) and 4 other fields | High correlation |
499, zoznam.sk: count(campaign) is highly overall correlated with 421, (other): count(campaign) and 4 other fields | High correlation |
550, (other): count(campaign) is highly overall correlated with 550, gmail.com: count(campaign) and 6 other fields | High correlation |
550, gmail.com: count(campaign) is highly overall correlated with 550, (other): count(campaign) and 5 other fields | High correlation |
550, hotmail.com: count(campaign) is highly overall correlated with 550, seznam.cz: count(campaign) and 5 other fields | High correlation |
550, seznam.cz: count(campaign) is highly overall correlated with 421, (other): count(campaign) and 3 other fields | High correlation |
550, zoznam.sk: count(campaign) is highly overall correlated with 451, centrum.sk: count(campaign) and 7 other fields | High correlation |
552, (other): count(campaign) is highly overall correlated with 552, gmail.com: count(campaign) | High correlation |
552, gmail.com: count(campaign) is highly overall correlated with 550, (other): count(campaign) and 8 other fields | High correlation |
552, seznam.cz: count(campaign) is highly overall correlated with 421, zoznam.sk: count(campaign) and 1 other fields | High correlation |
554, (other): count(campaign) is highly overall correlated with 421, seznam.cz: count(campaign) and 6 other fields | High correlation |
554, azet.sk: count(campaign) is highly overall correlated with 421, azet.sk: count(campaign) and 1 other fields | High correlation |
554, centrum.sk: count(campaign) is highly overall correlated with 421, seznam.cz: count(campaign) and 3 other fields | High correlation |
554, stonline.sk: count(campaign) is highly overall correlated with 499, zoznam.sk: count(campaign) and 6 other fields | High correlation |
554, yahoo.com: count(campaign) is highly overall correlated with 499, seznam.cz: count(campaign) and 6 other fields | High correlation |
421, seznam.cz: count(campaign) is highly imbalanced (79.4%) | Imbalance |
421, zoznam.sk: count(campaign) is highly imbalanced (65.0%) | Imbalance |
421, (other): count(campaign) is highly imbalanced (65.5%) | Imbalance |
451, centrum.sk: count(campaign) is highly imbalanced (69.4%) | Imbalance |
451, hotmail.com: count(campaign) is highly imbalanced (74.2%) | Imbalance |
451, zoznam.sk: count(campaign) is highly imbalanced (79.4%) | Imbalance |
499, centrum.sk: count(campaign) is highly imbalanced (65.5%) | Imbalance |
499, seznam.cz: count(campaign) is highly imbalanced (79.4%) | Imbalance |
499, zoznam.sk: count(campaign) is highly imbalanced (79.4%) | Imbalance |
550, hotmail.com: count(campaign) is highly imbalanced (79.4%) | Imbalance |
550, seznam.cz: count(campaign) is highly imbalanced (58.4%) | Imbalance |
550, zoznam.sk: count(campaign) is highly imbalanced (69.4%) | Imbalance |
554, azet.sk: count(campaign) is highly imbalanced (74.2%) | Imbalance |
554, stonline.sk: count(campaign) is highly imbalanced (65.5%) | Imbalance |
554, yahoo.com: count(campaign) is highly imbalanced (65.5%) | Imbalance |
421, azet.sk: count(campaign) has 20 (64.5%) zeros | Zeros |
451, icloud.com: count(campaign) has 14 (45.2%) zeros | Zeros |
451, (other): count(campaign) has 13 (41.9%) zeros | Zeros |
452, gmail.com: count(campaign) has 13 (41.9%) zeros | Zeros |
452, (other): count(campaign) has 15 (48.4%) zeros | Zeros |
499, (other): count(campaign) has 13 (41.9%) zeros | Zeros |
550, gmail.com: count(campaign) has 14 (45.2%) zeros | Zeros |
550, (other): count(campaign) has 13 (41.9%) zeros | Zeros |
552, gmail.com: count(campaign) has 12 (38.7%) zeros | Zeros |
554, centrum.sk: count(campaign) has 17 (54.8%) zeros | Zeros |
554, (other): count(campaign) has 12 (38.7%) zeros | Zeros |
Reproduction
| Analysis started | 2024-10-02 21:20:16.851243 |
|---|---|
| Analysis finished | 2024-10-02 21:20:37.694099 |
| Duration | 20.84 seconds |
| Software version | ydata-profiling vv4.10.0 |
| Download configuration | config.json |
421, azet.sk: count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 9 |
|---|---|
| Distinct (%) | 29.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.5806452 |
| Minimum | 0 |
|---|---|
| Maximum | 44 |
| Zeros | 20 |
| Zeros (%) | 64.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1.5 |
| 95-th percentile | 29 |
| Maximum | 44 |
| Range | 44 |
| Interquartile range (IQR) | 1.5 |
Descriptive statistics
| Standard deviation | 11.002346 |
|---|---|
| Coefficient of variation (CV) | 2.4019206 |
| Kurtosis | 6.1022693 |
| Mean | 4.5806452 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.620488 |
| Sum | 142 |
| Variance | 121.05161 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 1 | 3 | 9.7% |
| 2 | 2 | 6.5% |
| 3 | 1 | 3.2% |
| 25 | 1 | 3.2% |
| 44 | 1 | 3.2% |
| 33 | 1 | 3.2% |
| 6 | 1 | 3.2% |
| 24 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 1 | 3 | 9.7% |
| 2 | 2 | 6.5% |
| 3 | 1 | 3.2% |
| 6 | 1 | 3.2% |
| 24 | 1 | 3.2% |
| 25 | 1 | 3.2% |
| 33 | 1 | 3.2% |
| 44 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 44 | 1 | 3.2% |
| 33 | 1 | 3.2% |
| 25 | 1 | 3.2% |
| 24 | 1 | 3.2% |
| 6 | 1 | 3.2% |
| 3 | 1 | 3.2% |
| 2 | 2 | 6.5% |
| 1 | 3 | 9.7% |
| 0 | 20 |
421, centrum.sk: count(campaign)
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 3.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 31 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 31 |
421, icloud.com: count(campaign)
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 3.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 31 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 31 |
421, seznam.cz: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 19 | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.0322581 |
| Min length | 1 |
Characters and Unicode
| Total characters | 32 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 19 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 19 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.1% |
| 9 | 1 | 3.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 32 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.1% |
| 9 | 1 | 3.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 32 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.1% |
| 9 | 1 | 3.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 32 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.1% |
| 9 | 1 | 3.1% |
421, zoznam.sk: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 5 |
|---|---|
| Distinct (%) | 16.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 | 1 |
| 15 | 1 |
| 6 | 1 |
| 16 | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.0645161 |
| Min length | 1 |
Characters and Unicode
| Total characters | 33 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | 12.9% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 1 | 3.2% |
| 15 | 1 | 3.2% |
| 6 | 1 | 3.2% |
| 16 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 1 | 3.2% |
| 15 | 1 | 3.2% |
| 6 | 1 | 3.2% |
| 16 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.1% |
| 6 | 2 | 6.1% |
| 5 | 1 | 3.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 33 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.1% |
| 6 | 2 | 6.1% |
| 5 | 1 | 3.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 33 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.1% |
| 6 | 2 | 6.1% |
| 5 | 1 | 3.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 33 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.1% |
| 6 | 2 | 6.1% |
| 5 | 1 | 3.0% |
421, (other): count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 9.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 2 | 2 |
| 1 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 2 | 6.5% |
| 1 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 2 | 6.5% |
| 1 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 2 | 6.5% |
| 1 | 1 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 2 | 6.5% |
| 1 | 1 | 3.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 2 | 6.5% |
| 1 | 1 | 3.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 2 | 6.5% |
| 1 | 1 | 3.2% |
451, centrum.sk: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 4 |
|---|---|
| Distinct (%) | 12.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 2 | 1 |
| 1 | 1 |
| 9 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 9.7% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 1 | 3.2% |
| 1 | 1 | 3.2% |
| 9 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 1 | 3.2% |
| 1 | 1 | 3.2% |
| 9 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 1 | 3.2% |
| 1 | 1 | 3.2% |
| 9 | 1 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 1 | 3.2% |
| 1 | 1 | 3.2% |
| 9 | 1 | 3.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 1 | 3.2% |
| 1 | 1 | 3.2% |
| 9 | 1 | 3.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 2 | 1 | 3.2% |
| 1 | 1 | 3.2% |
| 9 | 1 | 3.2% |
451, hotmail.com: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 9.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 | 1 |
| 2 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 6.5% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 1 | 1 | 3.2% |
| 2 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 1 | 1 | 3.2% |
| 2 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 1 | 1 | 3.2% |
| 2 | 1 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 1 | 1 | 3.2% |
| 2 | 1 | 3.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 1 | 1 | 3.2% |
| 2 | 1 | 3.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 1 | 1 | 3.2% |
| 2 | 1 | 3.2% |
451, icloud.com: count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 7 |
|---|---|
| Distinct (%) | 22.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.6774194 |
| Minimum | 0 |
|---|---|
| Maximum | 12 |
| Zeros | 14 |
| Zeros (%) | 45.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 10 |
| 95-th percentile | 11 |
| Maximum | 12 |
| Range | 12 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 4.8674915 |
|---|---|
| Coefficient of variation (CV) | 1.0406361 |
| Kurtosis | -1.9531278 |
| Mean | 4.6774194 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.16526791 |
| Sum | 145 |
| Variance | 23.692473 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 14 | |
| 10 | 6 | |
| 8 | 5 | 16.1% |
| 11 | 2 | 6.5% |
| 1 | 2 | 6.5% |
| 12 | 1 | 3.2% |
| 9 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 14 | |
| 1 | 2 | 6.5% |
| 8 | 5 | 16.1% |
| 9 | 1 | 3.2% |
| 10 | 6 | |
| 11 | 2 | 6.5% |
| 12 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 12 | 1 | 3.2% |
| 11 | 2 | 6.5% |
| 10 | 6 | |
| 9 | 1 | 3.2% |
| 8 | 5 | 16.1% |
| 1 | 2 | 6.5% |
| 0 | 14 |
451, zoznam.sk: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 4 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 4 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 4 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 4 | 1 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 4 | 1 | 3.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 4 | 1 | 3.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 4 | 1 | 3.2% |
451, (other): count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 7 |
|---|---|
| Distinct (%) | 22.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.483871 |
| Minimum | 0 |
|---|---|
| Maximum | 10 |
| Zeros | 13 |
| Zeros (%) | 41.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 6 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.3075379 |
|---|---|
| Coefficient of variation (CV) | 1.5550799 |
| Kurtosis | 6.9906795 |
| Mean | 1.483871 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.545041 |
| Sum | 46 |
| Variance | 5.3247312 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 1 | 9 | |
| 3 | 3 | 9.7% |
| 2 | 3 | 9.7% |
| 4 | 1 | 3.2% |
| 8 | 1 | 3.2% |
| 10 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 1 | 9 | |
| 2 | 3 | 9.7% |
| 3 | 3 | 9.7% |
| 4 | 1 | 3.2% |
| 8 | 1 | 3.2% |
| 10 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 10 | 1 | 3.2% |
| 8 | 1 | 3.2% |
| 4 | 1 | 3.2% |
| 3 | 3 | 9.7% |
| 2 | 3 | 9.7% |
| 1 | 9 | |
| 0 | 13 |
452, gmail.com: count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 13 |
|---|---|
| Distinct (%) | 41.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22.064516 |
| Minimum | 0 |
|---|---|
| Maximum | 60 |
| Zeros | 13 |
| Zeros (%) | 41.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 42.5 |
| 95-th percentile | 52.5 |
| Maximum | 60 |
| Range | 60 |
| Interquartile range (IQR) | 42.5 |
Descriptive statistics
| Standard deviation | 23.359417 |
|---|---|
| Coefficient of variation (CV) | 1.058687 |
| Kurtosis | -1.8786703 |
| Mean | 22.064516 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.20875984 |
| Sum | 684 |
| Variance | 545.66237 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 52 | 3 | 9.7% |
| 2 | 2 | 6.5% |
| 39 | 2 | 6.5% |
| 41 | 2 | 6.5% |
| 43 | 2 | 6.5% |
| 1 | 1 | 3.2% |
| 42 | 1 | 3.2% |
| 37 | 1 | 3.2% |
| 36 | 1 | 3.2% |
| Other values (3) | 3 | 9.7% |
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 1 | 1 | 3.2% |
| 2 | 2 | 6.5% |
| 36 | 1 | 3.2% |
| 37 | 1 | 3.2% |
| 39 | 2 | 6.5% |
| 41 | 2 | 6.5% |
| 42 | 1 | 3.2% |
| 43 | 2 | 6.5% |
| 49 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 60 | 1 | 3.2% |
| 53 | 1 | 3.2% |
| 52 | 3 | |
| 49 | 1 | 3.2% |
| 43 | 2 | |
| 42 | 1 | 3.2% |
| 41 | 2 | |
| 39 | 2 | |
| 37 | 1 | 3.2% |
| 36 | 1 | 3.2% |
452, (other): count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 6 |
|---|---|
| Distinct (%) | 19.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.1935484 |
| Minimum | 0 |
|---|---|
| Maximum | 8 |
| Zeros | 15 |
| Zeros (%) | 48.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3.5 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.7013594 |
|---|---|
| Coefficient of variation (CV) | 1.4254632 |
| Kurtosis | 7.6734271 |
| Mean | 1.1935484 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.3684831 |
| Sum | 37 |
| Variance | 2.8946237 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 15 | |
| 2 | 7 | |
| 1 | 5 | 16.1% |
| 3 | 2 | 6.5% |
| 4 | 1 | 3.2% |
| 8 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 15 | |
| 1 | 5 | 16.1% |
| 2 | 7 | |
| 3 | 2 | 6.5% |
| 4 | 1 | 3.2% |
| 8 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 8 | 1 | 3.2% |
| 4 | 1 | 3.2% |
| 3 | 2 | 6.5% |
| 2 | 7 | |
| 1 | 5 | 16.1% |
| 0 | 15 |
499, azet.sk: count(campaign)
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 3.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 31 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 31 |
499, centrum.sk: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 9.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 | 2 |
| 14 | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.0322581 |
| Min length | 1 |
Characters and Unicode
| Total characters | 32 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.5% |
| 14 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.5% |
| 14 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 3 | 9.4% |
| 4 | 1 | 3.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 32 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 3 | 9.4% |
| 4 | 1 | 3.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 32 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 3 | 9.4% |
| 4 | 1 | 3.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 32 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 3 | 9.4% |
| 4 | 1 | 3.1% |
499, seznam.cz: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 1 | 1 | 3.2% |
499, zoznam.sk: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 2 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 2 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 2 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 2 | 1 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 2 | 1 | 3.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 2 | 1 | 3.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 2 | 1 | 3.2% |
499, (other): count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 12 |
|---|---|
| Distinct (%) | 38.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.9677419 |
| Minimum | 0 |
|---|---|
| Maximum | 47 |
| Zeros | 13 |
| Zeros (%) | 41.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 14.5 |
| 95-th percentile | 20 |
| Maximum | 47 |
| Range | 47 |
| Interquartile range (IQR) | 14.5 |
Descriptive statistics
| Standard deviation | 10.335969 |
|---|---|
| Coefficient of variation (CV) | 1.2972269 |
| Kurtosis | 5.4165213 |
| Mean | 7.9677419 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.8878529 |
| Sum | 247 |
| Variance | 106.83226 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 1 | 3 | 9.7% |
| 16 | 3 | 9.7% |
| 12 | 2 | 6.5% |
| 13 | 2 | 6.5% |
| 15 | 2 | 6.5% |
| 8 | 1 | 3.2% |
| 7 | 1 | 3.2% |
| 22 | 1 | 3.2% |
| 14 | 1 | 3.2% |
| Other values (2) | 2 | 6.5% |
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 1 | 3 | 9.7% |
| 7 | 1 | 3.2% |
| 8 | 1 | 3.2% |
| 12 | 2 | 6.5% |
| 13 | 2 | 6.5% |
| 14 | 1 | 3.2% |
| 15 | 2 | 6.5% |
| 16 | 3 | 9.7% |
| 18 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 47 | 1 | 3.2% |
| 22 | 1 | 3.2% |
| 18 | 1 | 3.2% |
| 16 | 3 | |
| 15 | 2 | |
| 14 | 1 | 3.2% |
| 13 | 2 | |
| 12 | 2 | |
| 8 | 1 | 3.2% |
| 7 | 1 | 3.2% |
550, gmail.com: count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 7 |
|---|---|
| Distinct (%) | 22.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.7096774 |
| Minimum | 0 |
|---|---|
| Maximum | 137 |
| Zeros | 14 |
| Zeros (%) | 45.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 137 |
| Range | 137 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 24.418836 |
|---|---|
| Coefficient of variation (CV) | 4.2767454 |
| Kurtosis | 30.707222 |
| Mean | 5.7096774 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 5.5298791 |
| Sum | 177 |
| Variance | 596.27957 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 14 | |
| 2 | 6 | |
| 1 | 4 | 12.9% |
| 4 | 3 | 9.7% |
| 3 | 2 | 6.5% |
| 6 | 1 | 3.2% |
| 137 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 14 | |
| 1 | 4 | 12.9% |
| 2 | 6 | |
| 3 | 2 | 6.5% |
| 4 | 3 | 9.7% |
| 6 | 1 | 3.2% |
| 137 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 137 | 1 | 3.2% |
| 6 | 1 | 3.2% |
| 4 | 3 | 9.7% |
| 3 | 2 | 6.5% |
| 2 | 6 | |
| 1 | 4 | 12.9% |
| 0 | 14 |
550, hotmail.com: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 5 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 5 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 5 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 5 | 1 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 5 | 1 | 3.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 5 | 1 | 3.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 30 | |
| 5 | 1 | 3.2% |
550, icloud.com: count(campaign)
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 3.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 31 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 31 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 31 |
550, seznam.cz: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 9.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 | |
| 3 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.7% |
| 3 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.7% |
| 3 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.7% |
| 3 | 1 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.7% |
| 3 | 1 | 3.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.7% |
| 3 | 1 | 3.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 3 | 9.7% |
| 3 | 1 | 3.2% |
550, zoznam.sk: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 4 |
|---|---|
| Distinct (%) | 12.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 16 | 1 |
| 6 | 1 |
| 1 | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.0322581 |
| Min length | 1 |
Characters and Unicode
| Total characters | 32 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 9.7% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 16 | 1 | 3.2% |
| 6 | 1 | 3.2% |
| 1 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 16 | 1 | 3.2% |
| 6 | 1 | 3.2% |
| 1 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.2% |
| 6 | 2 | 6.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 32 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.2% |
| 6 | 2 | 6.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 32 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.2% |
| 6 | 2 | 6.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 32 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.2% |
| 6 | 2 | 6.2% |
550, (other): count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 13 |
|---|---|
| Distinct (%) | 41.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.709677 |
| Minimum | 0 |
|---|---|
| Maximum | 324 |
| Zeros | 13 |
| Zeros (%) | 41.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 6.5 |
| 95-th percentile | 12.5 |
| Maximum | 324 |
| Range | 324 |
| Interquartile range (IQR) | 6.5 |
Descriptive statistics
| Standard deviation | 57.724168 |
|---|---|
| Coefficient of variation (CV) | 4.2104687 |
| Kurtosis | 30.676871 |
| Mean | 13.709677 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 5.5259059 |
| Sum | 425 |
| Variance | 3332.0796 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 4 | 3 | 9.7% |
| 2 | 3 | 9.7% |
| 8 | 2 | 6.5% |
| 6 | 2 | 6.5% |
| 12 | 1 | 3.2% |
| 10 | 1 | 3.2% |
| 3 | 1 | 3.2% |
| 9 | 1 | 3.2% |
| 324 | 1 | 3.2% |
| Other values (3) | 3 | 9.7% |
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 1 | 1 | 3.2% |
| 2 | 3 | 9.7% |
| 3 | 1 | 3.2% |
| 4 | 3 | 9.7% |
| 6 | 2 | 6.5% |
| 7 | 1 | 3.2% |
| 8 | 2 | 6.5% |
| 9 | 1 | 3.2% |
| 10 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 324 | 1 | 3.2% |
| 13 | 1 | 3.2% |
| 12 | 1 | 3.2% |
| 10 | 1 | 3.2% |
| 9 | 1 | 3.2% |
| 8 | 2 | |
| 7 | 1 | 3.2% |
| 6 | 2 | |
| 4 | 3 | |
| 3 | 1 | 3.2% |
552, gmail.com: count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 9 |
|---|---|
| Distinct (%) | 29.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.419355 |
| Minimum | 0 |
|---|---|
| Maximum | 31 |
| Zeros | 12 |
| Zeros (%) | 38.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 28 |
| 95-th percentile | 30.5 |
| Maximum | 31 |
| Range | 31 |
| Interquartile range (IQR) | 28 |
Descriptive statistics
| Standard deviation | 14.165155 |
|---|---|
| Coefficient of variation (CV) | 1.0555764 |
| Kurtosis | -2.0514668 |
| Mean | 13.419355 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.18388295 |
| Sum | 416 |
| Variance | 200.65161 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 28 | 5 | |
| 27 | 3 | 9.7% |
| 1 | 2 | 6.5% |
| 29 | 2 | 6.5% |
| 30 | 2 | 6.5% |
| 2 | 2 | 6.5% |
| 31 | 2 | 6.5% |
| 9 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 2 | 6.5% |
| 2 | 2 | 6.5% |
| 9 | 1 | 3.2% |
| 27 | 3 | 9.7% |
| 28 | 5 | |
| 29 | 2 | 6.5% |
| 30 | 2 | 6.5% |
| 31 | 2 | 6.5% |
| Value | Count | Frequency (%) |
| 31 | 2 | 6.5% |
| 30 | 2 | 6.5% |
| 29 | 2 | 6.5% |
| 28 | 5 | |
| 27 | 3 | 9.7% |
| 9 | 1 | 3.2% |
| 2 | 2 | 6.5% |
| 1 | 2 | 6.5% |
| 0 | 12 |
552, seznam.cz: count(campaign)
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 4 | 12.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 4 | 12.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 4 | 12.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 4 | 12.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 4 | 12.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 27 | |
| 1 | 4 | 12.9% |
552, (other): count(campaign)
Categorical
HIGH CORRELATION
| Distinct | 4 |
|---|---|
| Distinct (%) | 12.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 2 | |
| 1 | |
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 0 |
| 3rd row | 2 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 16 | |
| 2 | 6 | 19.4% |
| 1 | 6 | 19.4% |
| 4 | 3 | 9.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 16 | |
| 2 | 6 | 19.4% |
| 1 | 6 | 19.4% |
| 4 | 3 | 9.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 16 | |
| 2 | 6 | 19.4% |
| 1 | 6 | 19.4% |
| 4 | 3 | 9.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 16 | |
| 2 | 6 | 19.4% |
| 1 | 6 | 19.4% |
| 4 | 3 | 9.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 16 | |
| 2 | 6 | 19.4% |
| 1 | 6 | 19.4% |
| 4 | 3 | 9.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 16 | |
| 2 | 6 | 19.4% |
| 1 | 6 | 19.4% |
| 4 | 3 | 9.7% |
554, azet.sk: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 9.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 7 | 1 |
| 3 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 31 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 6.5% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 7 | 1 | 3.2% |
| 3 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 7 | 1 | 3.2% |
| 3 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 7 | 1 | 3.2% |
| 3 | 1 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 31 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 7 | 1 | 3.2% |
| 3 | 1 | 3.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 7 | 1 | 3.2% |
| 3 | 1 | 3.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 29 | |
| 7 | 1 | 3.2% |
| 3 | 1 | 3.2% |
554, centrum.sk: count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 13 |
|---|---|
| Distinct (%) | 41.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 60.774194 |
| Minimum | 0 |
|---|---|
| Maximum | 564 |
| Zeros | 17 |
| Zeros (%) | 54.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 46 |
| 95-th percentile | 344 |
| Maximum | 564 |
| Range | 564 |
| Interquartile range (IQR) | 46 |
Descriptive statistics
| Standard deviation | 131.76866 |
|---|---|
| Coefficient of variation (CV) | 2.168168 |
| Kurtosis | 7.5036274 |
| Mean | 60.774194 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.7224001 |
| Sum | 1884 |
| Variance | 17362.981 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0 | 17 | |
| 1 | 2 | 6.5% |
| 11 | 2 | 6.5% |
| 26 | 1 | 3.2% |
| 397 | 1 | 3.2% |
| 291 | 1 | 3.2% |
| 66 | 1 | 3.2% |
| 143 | 1 | 3.2% |
| 78 | 1 | 3.2% |
| 158 | 1 | 3.2% |
| Other values (3) | 3 | 9.7% |
| Value | Count | Frequency (%) |
| 0 | 17 | |
| 1 | 2 | 6.5% |
| 2 | 1 | 3.2% |
| 11 | 2 | 6.5% |
| 26 | 1 | 3.2% |
| 66 | 1 | 3.2% |
| 78 | 1 | 3.2% |
| 135 | 1 | 3.2% |
| 143 | 1 | 3.2% |
| 158 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 564 | 1 | |
| 397 | 1 | |
| 291 | 1 | |
| 158 | 1 | |
| 143 | 1 | |
| 135 | 1 | |
| 78 | 1 | |
| 66 | 1 | |
| 26 | 1 | |
| 11 | 2 |
554, stonline.sk: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 9.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 | 2 |
| 14 | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.0322581 |
| Min length | 1 |
Characters and Unicode
| Total characters | 32 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.5% |
| 14 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.5% |
| 14 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 3 | 9.4% |
| 4 | 1 | 3.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 32 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 3 | 9.4% |
| 4 | 1 | 3.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 32 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 3 | 9.4% |
| 4 | 1 | 3.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 32 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 3 | 9.4% |
| 4 | 1 | 3.1% |
554, yahoo.com: count(campaign)
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 9.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 | 2 |
| 39 | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.0322581 |
| Min length | 1 |
Characters and Unicode
| Total characters | 32 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 3.2% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.5% |
| 39 | 1 | 3.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.5% |
| 39 | 1 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.2% |
| 3 | 1 | 3.1% |
| 9 | 1 | 3.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 32 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.2% |
| 3 | 1 | 3.1% |
| 9 | 1 | 3.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 32 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.2% |
| 3 | 1 | 3.1% |
| 9 | 1 | 3.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 32 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 2 | 6.2% |
| 3 | 1 | 3.1% |
| 9 | 1 | 3.1% |
554, (other): count(campaign)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 15 |
|---|---|
| Distinct (%) | 48.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.516129 |
| Minimum | 0 |
|---|---|
| Maximum | 332 |
| Zeros | 12 |
| Zeros (%) | 38.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 496.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 15 |
| 95-th percentile | 152 |
| Maximum | 332 |
| Range | 332 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 69.157246 |
|---|---|
| Coefficient of variation (CV) | 2.4251976 |
| Kurtosis | 12.720822 |
| Mean | 28.516129 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 3.4137588 |
| Sum | 884 |
| Variance | 4782.7247 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 3 | 9.7% |
| 2 | 3 | 9.7% |
| 15 | 2 | 6.5% |
| 166 | 1 | 3.2% |
| 3 | 1 | 3.2% |
| 13 | 1 | 3.2% |
| 93 | 1 | 3.2% |
| 11 | 1 | 3.2% |
| 31 | 1 | 3.2% |
| Other values (5) | 5 |
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 3 | 9.7% |
| 2 | 3 | 9.7% |
| 3 | 1 | 3.2% |
| 4 | 1 | 3.2% |
| 11 | 1 | 3.2% |
| 13 | 1 | 3.2% |
| 15 | 2 | 6.5% |
| 24 | 1 | 3.2% |
| 30 | 1 | 3.2% |
| Value | Count | Frequency (%) |
| 332 | 1 | |
| 166 | 1 | |
| 138 | 1 | |
| 93 | 1 | |
| 31 | 1 | |
| 30 | 1 | |
| 24 | 1 | |
| 15 | 2 | |
| 13 | 1 | |
| 11 | 1 |
| 421, (other): count(campaign) | 421, azet.sk: count(campaign) | 421, seznam.cz: count(campaign) | 421, zoznam.sk: count(campaign) | 451, (other): count(campaign) | 451, centrum.sk: count(campaign) | 451, hotmail.com: count(campaign) | 451, icloud.com: count(campaign) | 451, zoznam.sk: count(campaign) | 452, (other): count(campaign) | 452, gmail.com: count(campaign) | 499, (other): count(campaign) | 499, centrum.sk: count(campaign) | 499, seznam.cz: count(campaign) | 499, zoznam.sk: count(campaign) | 550, (other): count(campaign) | 550, gmail.com: count(campaign) | 550, hotmail.com: count(campaign) | 550, seznam.cz: count(campaign) | 550, zoznam.sk: count(campaign) | 552, (other): count(campaign) | 552, gmail.com: count(campaign) | 552, seznam.cz: count(campaign) | 554, (other): count(campaign) | 554, azet.sk: count(campaign) | 554, centrum.sk: count(campaign) | 554, stonline.sk: count(campaign) | 554, yahoo.com: count(campaign) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 421, (other): count(campaign) | 1.000 | 0.726 | 0.657 | 0.628 | 0.499 | 0.392 | 0.000 | 0.349 | 0.000 | 0.244 | 0.448 | 0.458 | 0.435 | 0.000 | 0.657 | 0.000 | 0.000 | 0.000 | 0.684 | 0.000 | 0.000 | 0.000 | 0.147 | 0.394 | 0.000 | 0.299 | 0.215 | 0.000 |
| 421, azet.sk: count(campaign) | 0.726 | 1.000 | 0.947 | 0.750 | 0.468 | 0.476 | 0.000 | 0.398 | 0.000 | 0.452 | 0.384 | 0.491 | 0.631 | 0.000 | 0.602 | 0.138 | -0.092 | 0.000 | 0.352 | 0.000 | 0.168 | 0.216 | 0.447 | 0.272 | 0.629 | 0.348 | 0.000 | 0.000 |
| 421, seznam.cz: count(campaign) | 0.657 | 0.947 | 1.000 | 0.947 | 0.928 | 0.965 | 0.000 | 0.203 | 0.000 | 0.000 | 0.928 | 0.928 | 0.983 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.201 | 0.000 | 0.000 | 0.965 | 0.000 | 0.928 | 0.000 | 0.000 |
| 421, zoznam.sk: count(campaign) | 0.628 | 0.750 | 0.947 | 1.000 | 0.626 | 0.770 | 0.000 | 0.214 | 0.947 | 0.562 | 0.698 | 0.683 | 0.630 | 0.000 | 0.947 | 0.000 | 0.000 | 0.000 | 0.000 | 0.475 | 0.000 | 0.098 | 0.589 | 0.476 | 0.628 | 0.325 | 0.345 | 0.000 |
| 451, (other): count(campaign) | 0.499 | 0.468 | 0.928 | 0.626 | 1.000 | 0.819 | 0.000 | 0.844 | 0.928 | 0.789 | 0.769 | 0.755 | 0.654 | 0.387 | 0.000 | -0.129 | -0.382 | 0.000 | 0.092 | 0.441 | 0.000 | -0.202 | 0.000 | 0.159 | 0.000 | 0.147 | 0.000 | 0.000 |
| 451, centrum.sk: count(campaign) | 0.392 | 0.476 | 0.965 | 0.770 | 0.819 | 1.000 | 0.656 | 0.284 | 0.965 | 0.522 | 0.857 | 0.787 | 0.829 | 0.965 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.511 | 0.000 | 0.000 | 0.000 | 0.512 | 0.000 | 0.440 | 0.000 | 0.392 |
| 451, hotmail.com: count(campaign) | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.656 | 1.000 | 0.199 | 0.000 | 0.000 | 0.310 | 0.000 | 0.434 | 0.983 | 0.000 | 0.000 | 0.000 | 0.000 | 0.311 | 0.000 | 0.274 | 0.274 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.434 |
| 451, icloud.com: count(campaign) | 0.349 | 0.398 | 0.203 | 0.214 | 0.844 | 0.284 | 0.199 | 1.000 | 0.076 | 0.842 | 0.788 | 0.747 | 0.156 | 0.429 | 0.203 | -0.252 | -0.257 | 0.000 | 0.000 | 0.000 | 0.157 | -0.274 | 0.512 | 0.094 | 0.000 | 0.101 | 0.000 | 0.000 |
| 451, zoznam.sk: count(campaign) | 0.000 | 0.000 | 0.000 | 0.947 | 0.928 | 0.965 | 0.000 | 0.076 | 1.000 | 0.928 | 0.928 | 0.928 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.965 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 452, (other): count(campaign) | 0.244 | 0.452 | 0.000 | 0.562 | 0.789 | 0.522 | 0.000 | 0.842 | 0.928 | 1.000 | 0.769 | 0.840 | 0.000 | 0.000 | 0.572 | -0.316 | -0.473 | 0.000 | 0.000 | 0.460 | 0.000 | -0.417 | 0.283 | -0.026 | 0.000 | -0.034 | 0.000 | 0.000 |
| 452, gmail.com: count(campaign) | 0.448 | 0.384 | 0.928 | 0.698 | 0.769 | 0.857 | 0.310 | 0.788 | 0.928 | 0.769 | 1.000 | 0.871 | 0.693 | 0.572 | 0.083 | -0.246 | -0.330 | 0.000 | 0.000 | 0.456 | 0.000 | -0.177 | 0.477 | 0.108 | 0.000 | 0.140 | 0.000 | 0.000 |
| 499, (other): count(campaign) | 0.458 | 0.491 | 0.928 | 0.683 | 0.755 | 0.787 | 0.000 | 0.747 | 0.928 | 0.840 | 0.871 | 1.000 | 0.628 | 0.083 | 0.000 | -0.075 | -0.331 | 0.000 | 0.000 | 0.456 | 0.000 | -0.204 | 0.000 | 0.150 | 0.000 | 0.163 | 0.000 | 0.000 |
| 499, centrum.sk: count(campaign) | 0.435 | 0.631 | 0.983 | 0.630 | 0.654 | 0.829 | 0.434 | 0.156 | 0.000 | 0.000 | 0.693 | 0.628 | 1.000 | 0.657 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.658 | 0.000 | 0.607 | 0.000 | 0.215 |
| 499, seznam.cz: count(campaign) | 0.000 | 0.000 | 0.000 | 0.000 | 0.387 | 0.965 | 0.983 | 0.429 | 0.000 | 0.000 | 0.572 | 0.083 | 0.657 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.657 |
| 499, zoznam.sk: count(campaign) | 0.657 | 0.602 | 0.000 | 0.947 | 0.000 | 0.000 | 0.000 | 0.203 | 0.000 | 0.572 | 0.083 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.467 | 0.088 | 0.000 | 0.000 | 0.000 | 0.657 | 0.000 |
| 550, (other): count(campaign) | 0.000 | 0.138 | 0.000 | 0.000 | -0.129 | 0.000 | 0.000 | -0.252 | 0.000 | -0.316 | -0.246 | -0.075 | 0.000 | 0.000 | 0.000 | 1.000 | 0.588 | 0.455 | 0.503 | 0.965 | 0.467 | 0.691 | 0.000 | 0.633 | 0.000 | 0.448 | 0.983 | 0.983 |
| 550, gmail.com: count(campaign) | 0.000 | -0.092 | 0.000 | 0.000 | -0.382 | 0.000 | 0.000 | -0.257 | 0.000 | -0.473 | -0.330 | -0.331 | 0.000 | 0.000 | 0.000 | 0.588 | 1.000 | 0.455 | 0.503 | 0.965 | 0.467 | 0.564 | 0.000 | 0.384 | 0.000 | 0.317 | 0.983 | 0.983 |
| 550, hotmail.com: count(campaign) | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.455 | 0.455 | 1.000 | 0.503 | 0.965 | 0.467 | 0.965 | 0.000 | 0.630 | 0.000 | 0.387 | 0.983 | 0.983 |
| 550, seznam.cz: count(campaign) | 0.684 | 0.352 | 0.000 | 0.000 | 0.092 | 0.000 | 0.311 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.503 | 0.503 | 0.503 | 1.000 | 0.489 | 0.459 | 0.388 | 0.000 | 0.000 | 0.000 | 0.203 | 0.314 | 0.314 |
| 550, zoznam.sk: count(campaign) | 0.000 | 0.000 | 0.000 | 0.475 | 0.441 | 0.511 | 0.000 | 0.000 | 0.965 | 0.460 | 0.456 | 0.456 | 0.000 | 0.000 | 0.000 | 0.965 | 0.965 | 0.965 | 0.489 | 1.000 | 0.255 | 0.540 | 0.368 | 0.265 | 0.000 | 0.237 | 0.657 | 0.657 |
| 552, (other): count(campaign) | 0.000 | 0.168 | 0.201 | 0.000 | 0.000 | 0.000 | 0.274 | 0.157 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.467 | 0.467 | 0.467 | 0.459 | 0.255 | 1.000 | 0.577 | 0.096 | 0.257 | 0.216 | 0.303 | 0.294 | 0.383 |
| 552, gmail.com: count(campaign) | 0.000 | 0.216 | 0.000 | 0.098 | -0.202 | 0.000 | 0.274 | -0.274 | 0.000 | -0.417 | -0.177 | -0.204 | 0.000 | 0.000 | 0.467 | 0.691 | 0.564 | 0.965 | 0.388 | 0.540 | 0.577 | 1.000 | 0.497 | 0.569 | 0.000 | 0.512 | 0.716 | 0.659 |
| 552, seznam.cz: count(campaign) | 0.147 | 0.447 | 0.000 | 0.589 | 0.000 | 0.000 | 0.000 | 0.512 | 0.000 | 0.283 | 0.477 | 0.000 | 0.000 | 0.000 | 0.088 | 0.000 | 0.000 | 0.000 | 0.000 | 0.368 | 0.096 | 0.497 | 1.000 | 0.000 | 0.408 | 0.349 | 0.147 | 0.000 |
| 554, (other): count(campaign) | 0.394 | 0.272 | 0.965 | 0.476 | 0.159 | 0.512 | 0.000 | 0.094 | 0.000 | -0.026 | 0.108 | 0.150 | 0.658 | 0.000 | 0.000 | 0.633 | 0.384 | 0.630 | 0.000 | 0.265 | 0.257 | 0.569 | 0.000 | 1.000 | 0.000 | 0.869 | 0.394 | 0.394 |
| 554, azet.sk: count(campaign) | 0.000 | 0.629 | 0.000 | 0.628 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.216 | 0.000 | 0.408 | 0.000 | 1.000 | 0.293 | 0.000 | 0.000 |
| 554, centrum.sk: count(campaign) | 0.299 | 0.348 | 0.928 | 0.325 | 0.147 | 0.440 | 0.000 | 0.101 | 0.000 | -0.034 | 0.140 | 0.163 | 0.607 | 0.000 | 0.000 | 0.448 | 0.317 | 0.387 | 0.203 | 0.237 | 0.303 | 0.512 | 0.349 | 0.869 | 0.293 | 1.000 | 0.000 | 0.000 |
| 554, stonline.sk: count(campaign) | 0.215 | 0.000 | 0.000 | 0.345 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.657 | 0.983 | 0.983 | 0.983 | 0.314 | 0.657 | 0.294 | 0.716 | 0.147 | 0.394 | 0.000 | 0.000 | 1.000 | 0.683 |
| 554, yahoo.com: count(campaign) | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.392 | 0.434 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.215 | 0.657 | 0.000 | 0.983 | 0.983 | 0.983 | 0.314 | 0.657 | 0.383 | 0.659 | 0.000 | 0.394 | 0.000 | 0.000 | 0.683 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| 421, azet.sk: count(campaign) | 421, centrum.sk: count(campaign) | 421, icloud.com: count(campaign) | 421, seznam.cz: count(campaign) | 421, zoznam.sk: count(campaign) | 421, (other): count(campaign) | 451, centrum.sk: count(campaign) | 451, hotmail.com: count(campaign) | 451, icloud.com: count(campaign) | 451, zoznam.sk: count(campaign) | 451, (other): count(campaign) | 452, gmail.com: count(campaign) | 452, (other): count(campaign) | 499, azet.sk: count(campaign) | 499, centrum.sk: count(campaign) | 499, seznam.cz: count(campaign) | 499, zoznam.sk: count(campaign) | 499, (other): count(campaign) | 550, gmail.com: count(campaign) | 550, hotmail.com: count(campaign) | 550, icloud.com: count(campaign) | 550, seznam.cz: count(campaign) | 550, zoznam.sk: count(campaign) | 550, (other): count(campaign) | 552, gmail.com: count(campaign) | 552, seznam.cz: count(campaign) | 552, (other): count(campaign) | 554, azet.sk: count(campaign) | 554, centrum.sk: count(campaign) | 554, stonline.sk: count(campaign) | 554, yahoo.com: count(campaign) | 554, (other): count(campaign) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 0 | 6 | 27 | 0 | 4 | 0 | 0 | 0 | 0 | 13 |
| 63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 3 | 41 | 2 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 12 | 28 | 0 | 2 | 0 | 0 | 0 | 0 | 3 |
| 65 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 4 | 39 | 2 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 8 | 28 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 3 | 43 | 3 | 0 | 0 | 0 | 0 | 12 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 4 | 28 | 0 | 1 | 0 | 397 | 0 | 0 | 166 |
| 70 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 11 | 0 | 3 | 43 | 2 | 0 | 1 | 1 | 0 | 12 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 26 | 0 | 1 | 11 |
| 71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 10 | 28 | 0 | 4 | 0 | 0 | 0 | 1 | 0 |
| 421, azet.sk: count(campaign) | 421, centrum.sk: count(campaign) | 421, icloud.com: count(campaign) | 421, seznam.cz: count(campaign) | 421, zoznam.sk: count(campaign) | 421, (other): count(campaign) | 451, centrum.sk: count(campaign) | 451, hotmail.com: count(campaign) | 451, icloud.com: count(campaign) | 451, zoznam.sk: count(campaign) | 451, (other): count(campaign) | 452, gmail.com: count(campaign) | 452, (other): count(campaign) | 499, azet.sk: count(campaign) | 499, centrum.sk: count(campaign) | 499, seznam.cz: count(campaign) | 499, zoznam.sk: count(campaign) | 499, (other): count(campaign) | 550, gmail.com: count(campaign) | 550, hotmail.com: count(campaign) | 550, icloud.com: count(campaign) | 550, seznam.cz: count(campaign) | 550, zoznam.sk: count(campaign) | 550, (other): count(campaign) | 552, gmail.com: count(campaign) | 552, seznam.cz: count(campaign) | 552, (other): count(campaign) | 554, azet.sk: count(campaign) | 554, centrum.sk: count(campaign) | 554, stonline.sk: count(campaign) | 554, yahoo.com: count(campaign) | 554, (other): count(campaign) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 2 | 52 | 1 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 1 | 2 | 0 | 135 | 0 | 0 | 15 |
| 84 | 44 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 8 | 0 | 1 | 52 | 1 | 0 | 0 | 0 | 0 | 16 | 1 | 0 | 0 | 0 | 0 | 1 | 29 | 1 | 1 | 3 | 11 | 0 | 0 | 1 |
| 85 | 33 | 0 | 0 | 19 | 6 | 2 | 9 | 0 | 8 | 0 | 10 | 60 | 2 | 0 | 14 | 0 | 0 | 47 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 0 | 1 | 0 | 564 | 0 | 0 | 332 |
| 86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 87 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 8 | 30 | 0 | 2 | 0 | 11 | 0 | 0 | 4 |
| 88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 1 | 53 | 2 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 31 | 0 | 1 | 0 | 2 | 0 | 0 | 30 |
| 90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 2 | 52 | 2 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 92 | 24 | 0 | 0 | 0 | 16 | 2 | 0 | 0 | 8 | 0 | 1 | 49 | 3 | 0 | 0 | 0 | 2 | 16 | 0 | 0 | 0 | 0 | 0 | 6 | 27 | 1 | 0 | 0 | 0 | 1 | 0 | 2 |
Most frequently occurring
| 421, azet.sk: count(campaign) | 421, centrum.sk: count(campaign) | 421, icloud.com: count(campaign) | 421, seznam.cz: count(campaign) | 421, zoznam.sk: count(campaign) | 421, (other): count(campaign) | 451, centrum.sk: count(campaign) | 451, hotmail.com: count(campaign) | 451, icloud.com: count(campaign) | 451, zoznam.sk: count(campaign) | 451, (other): count(campaign) | 452, gmail.com: count(campaign) | 452, (other): count(campaign) | 499, azet.sk: count(campaign) | 499, centrum.sk: count(campaign) | 499, seznam.cz: count(campaign) | 499, zoznam.sk: count(campaign) | 499, (other): count(campaign) | 550, gmail.com: count(campaign) | 550, hotmail.com: count(campaign) | 550, icloud.com: count(campaign) | 550, seznam.cz: count(campaign) | 550, zoznam.sk: count(campaign) | 550, (other): count(campaign) | 552, gmail.com: count(campaign) | 552, seznam.cz: count(campaign) | 552, (other): count(campaign) | 554, azet.sk: count(campaign) | 554, centrum.sk: count(campaign) | 554, stonline.sk: count(campaign) | 554, yahoo.com: count(campaign) | 554, (other): count(campaign) | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |